Essays about: "Implicit recommendation"

Showing result 1 - 5 of 12 essays containing the words Implicit recommendation.

1. 1. Recommending digital books to children : Acomparative study of different state-of-the-art recommendation system techniques

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Malvin Lundqvist; [2023]
   Keywords : Recommendation Systems; Collaborative Filtering; Matrix Factorization; Multi-Layer Perceptron; Neural Network-based Collaborative Filtering; Implicit Feedback; Deep Learning; Term Frequency-Inverse Document Frequency; Rekommendationssystem; Kollaborativ filtrering; Matrisfaktorisering; Flerlagersperceptron; Neurala nätverksbaserad kollaborativ filtrering; Implicit data; Djupinlärning; Termfrekvens med omvänd dokumentfrekvens;

   Abstract : Collaborative filtering is a popular technique to use behavior data in the form of user’s interactions with, or ratings of, items in a system to provide personalized recommendations of items to the user. This study compares three different state-of-the-art Recommendation System models that implement this technique, Matrix Factorization, Multi-layer Perceptron and Neural Matrix Factorization, using behavior data from a digital book platform for children. READ MORE

3. 2. Predicting future purchases with matrix factorization

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Azer Hojlas; August Paulsrud; [2022]
   Keywords : Matrix factorisation; machine learning; recommendations systems; Maskininlärning; Matrisfaktorisering; Rekommendationssystem;

   Abstract : This thesis aims to establish the efficacy of using matrix factorization to predict future purchases. Matrix factorisation is a machine learning method, commonly used to implement the collaborative filtering recommendation system. READ MORE

4. 3. Graph Neural Networks for Article Recommendation based on Implicit User Feedback and Content

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Márk Bereczki; [2021]
   Keywords : Recommender systems; Implicit recommendation; Graph neural networks; Simple Graph Convolution; Natural language processing; Rekommendationssystem; Implicit rekommendation; Grafneurala nätverk; Simple Graph Convolution; Naturlig språkbehandling;

   Abstract : Recommender systems are widely used in websites and applications to help users find relevant content based on their interests. Graph neural networks achieved state- of-the- art results in the field of recommender systems, working on data represented in the form of a graph. READ MORE

5. 4. Impact of implicit data in a job recommender system

   University essay from Jönköping University/JTH, Datateknik och informatik

   Author : Josef Wakman; [2020]
   Keywords : Recommender systems; Prediction; Job recommendation; Content based filtering; Implicit data; Explicit data; User behavior.;

   Abstract : Many employment services base their online job recommendations to users based solely on explicit data in their profiles. The implicit data of what users for example click on, save and mark as irrelevant goes unused. Instead of making recommendations based on user behavior they make a direct comparison between user preferences and job ad attributes. READ MORE

6. 5. Learnings for Future

   University essay from Lunds universitet/Internationella miljöinstitutet

   Author : Alicia Requena Carrion; [2019]
   Keywords : Earth and Environmental Sciences;

   Abstract : In the present time, the rate of environmental degradation requires us to use all available means to avoid further damage and restore the environment to the best of our possibilities. Education is an important channel to promote environmentalism and sustainability, and to promote pro-environmental individual decisions, especially regarding consumption and purchasing patterns. READ MORE